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International Conference on Conceptual Modeling

ER 2016: Advances in Conceptual Modeling pp 173–182Cite as

Data Quality Problems When Integrating Genomic Information

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9975))

Abstract

Due to the complexity of genomic information and the broad amount of data produced every day, the genomic information accessible on the web has become very difficult to integrate, which hinders the research process. Using the knowledge from the Data Quality field and after a specific study of a set of genomic databases we have found problems related to six Data Quality dimensions. The aim of this paper is to highlight the problems that bioinformaticians have to face when they integrate information from different genomic databases. The contribution of this paper is to identify and characterize those problems in order to understand which ones hinder the research process, increasing the time-waste that this task means for researchers.

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Authors and Affiliations

  1. Research Center on Software Production Methods (PROS), Universitat Politècnica de València, Camino de Vera S/N, 46022, Valencia, Spain

    Ana León, José Reyes, Verónica Burriel & Francisco Valverde

Authors
  1. Ana León
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  2. José Reyes
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  3. Verónica Burriel
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  4. Francisco Valverde
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Corresponding author

Correspondence to Ana León .

Editor information

Editors and Affiliations

  1. University of Auckland, Auckland, New Zealand

    Sebastian Link

  2. University of Alicante, Alicante, Spain

    Juan C. Trujillo

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© 2016 Springer International Publishing AG

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León, A., Reyes, J., Burriel, V., Valverde, F. (2016). Data Quality Problems When Integrating Genomic Information. In: Link, S., Trujillo, J. (eds) Advances in Conceptual Modeling. ER 2016. Lecture Notes in Computer Science(), vol 9975. Springer, Cham. https://doi.org/10.1007/978-3-319-47717-6_15

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  • DOI: https://doi.org/10.1007/978-3-319-47717-6_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47716-9

  • Online ISBN: 978-3-319-47717-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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